BAYESIAN STATISTICS USING MATHEMATICA

被引：5

作者：

COOK, P ^{[1
]}

BROEMELING, LD ^{[1
]}

机构：

[1] UNIV TEXAS,HOUSTON SCH PUBL HLTH,DEPT BIOMETRY,EL PASO,TX 79968

来源：

AMERICAN STATISTICIAN | 1995年 / 49卷 / 01期

关键词：

MONTE CARLO; POSTERIOR DISTRIBUTION; RESAMPLING; SAMPLING IMPORTANCE;

D O I：

10.2307/2684817

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We illustrate the use of the Mathematica software system (programming language) for performing Bayesian calculations of the sort encountered in introductory presentations of Bayesian statistics. In particular, we show the ease with which one can do numerical computation, graphics, and symbolic computation to analyze one- and two-dimensional probability density functions. Our illustrations involve a time series problem using oxygen uptake data taken from a burn patient.

引用

页码：70 / 76

页数：7

共 9 条

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